Title :
Behavior-Rule Based Intrusion Detection Systems for Safety Critical Smart Grid Applications
Author :
Mitchell, Robert ; Ing-Ray Chen
Author_Institution :
Dept. of Comput. Sci., Virginia Polytech. Inst. & State Univ., Falls Church, VA, USA
Abstract :
In this paper, a behavior-rule based intrusion detection system (BRIDS) is proposed for securing head-ends (HEs), distribution access points/data aggregation points (DAPs) and subscriber energy meters (SEMs) of a modern electrical grid in which continuity of operation is of the utmost importance. The impact of attacker behaviors on the effectiveness of a behavior-rule intrusion detection design is investigated. Using HEs, DAPs and SEMs as examples, it is demonstrated that a behavior-rule based intrusion detection technique can effectively trade false positives for a high detection probability to cope with sophisticated and hidden attackers to support ultra safe and secure applications. It is shown that BRIDS outperforms contemporary anomaly-based IDSs via comparative analysis.
Keywords :
power system measurement; power system security; probability; smart power grids; BRIDS; DAP; SEM; attacker behaviors; behavior-rule based intrusion detection systems; data aggregation points; detection probability; distribution access points; electrical grid; head-ends security; safety critical smart grid applications; subscriber energy meters; Actuators; Density estimation robust algorithm; Generators; Home appliances; Intrusion detection; Monitoring; Sensors; Cyber physical systems; data aggregation point; distribution access point; head-end; intrusion detection; safety; security; subscriber energy meter;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2013.2258948
